Henrik Hansen is a Professor and Head of Department at the Department of Economics , University of Copenhagen , where he has held various academic and administrative roles since 1995. He is associated with the Development Economics Research Group (DERG) and affiliated with the Copenhagen Center for Disaster Research (COPE) network. Education : MSc in Economics (1991) and PhD in Economics (1995) from University of Copenhagen. His research focuses on development economics , with emphasis on development aid effectiveness , applied econometrics , and education research . He has conducted extensive fieldwork in Myanmar and Vietnam , analyzing enterprise surveys, household data, and policy impacts. Recent publications highlight productivity in manufacturing sectors, gender wage gaps, and credit access determinants. He teaches "Applied Research Methods" in the Global Development program and supervises development economics and applied econometrics students. Professional roles include editorial positions at Review of Development Economics and Asia & The Pacific Policy Studies , alongside advisory work for Statistics Denmark and Vietnamese Academy of Social Sciences . He has organized international conferences and contributed to 25+ media discussions on topics like corruption in Africa and development financing .
Dr. Giulia Celentano is a Senior Scientific Assistant and Humanitarian Research Fellow at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering (D-BAUG), affiliated with the Institute of Construction and Infrastructure Management (IBI). She holds a PhD in Sustainable Construction from ETH Zurich and has academic roles including lecturer in courses at D-BAUG and D-ARCH, as well as visiting professorships at Politecnico di Milano and ETSAM in Madrid. Her research focuses on humanitarian engineering, post-disaster reconstruction, and sustainable construction in conflict-affected and informal urban settings. She leads projects with organizations like the ICRC, UN-HABITAT, and UNHCR, emphasizing field-based, impact-oriented strategies. Education includes a Bachelor's and Master's in Architecture from Politecnico di Milano, a short course in Shelter and Settlements from IFRC/Oxford Brookes, and guest research at MIT ReAct. Current initiatives include coordinating the MOOC on Regenerative Materials (launching 2025) and developing tools like the ETH-ICRC Sustainable Construction Tool. Her work spans case studies in the MENA region, Sub-Saharan Africa, and Southeast Asia, addressing challenges in informal settlements and resilient health infrastructure.
Dr. Xue Dong (Sarah Dong) serves as a Research Fellow at the Arndt-Corden Department of Economics within the Crawford School of Public Policy at the Australian National University. Her work focuses on Indonesian socio-economic development, particularly labor markets, gender equality, and policy interventions in education and business formalization. Education: PhD in Economics from the University of Western Ontario Research Focus: Dr. Dong employs empirical methods including randomized controlled trials to investigate electoral impacts on public spending, financial aid accessibility for low-income students, and microenterprise registration barriers. Her fingerprint analysis reveals 100% concentration on Indonesian contexts with strong emphasis on labor markets (90%) and gender equality (71%). Publication Trends: Recent outputs (2023-2025) demonstrate methodological rigor in causal analysis of policy reforms, with consistent regional specialization in Indonesia. Her work bridges academic research and practical development solutions through partnerships with Indonesian institutions. Project Leadership: As Co-Investigator on three major grants, she examines corporate social responsibility in emerging economies (2022-2026), tax registration for MSMEs (2018-2020), and foreign aid effectiveness (2016-2021). These projects involve multi-institutional collaborations across Australia and Indonesia. Academic Service: Registered to supervise graduate students at ANU, she contributes to gender equality discourse through editorial work including the 2023 ISEAS-Yusof Ishak Institute publication on Indonesian gender dynamics.
Cheuk Wai Tai is a Senior Staff Researcher at Stockholm University's Department of Environmental and Materials Chemistry since 2009. He manages the transmission electron microscopes and sample preparation equipment at the Electron Microscopy Center and serves as Section Editor for the Journal of Electronic Materials. His work focuses on quantitative structure characterization in functional materials research, particularly within nanoscience and nanotechnology contexts. Education: Ph.D. in Applied Physics, The Hong Kong Polytechnic University, 2004 M.Phil. in Applied Physics, The Hong Kong Polytechnic University, 2001 M.Sc. in Physics, The Chinese University of Hong Kong, 1998 B.Sc. (Hons) in Engineering Physics, The Hong Kong Polytechnic University, 1997 Dip. in Mechanical Engineering (Computer Aided Engineering), Institute of Vocational Education (formerly Haking Wong Technical Institute), Hong Kong, 1992 His research centers on structure-property relationships in functional materials through advanced electron microscopy techniques. Current specializations include Pair Distribution Function (ePDF) & Diffuse Scattering, Energy Materials characterization, and EM sample preparation methodology development. The group maintains strong focus on translating structural data into functional performance metrics for nanomaterials. Recent publications (2013-2019) demonstrate consistent emphasis on electron microscopy applications for energy storage materials (batteries, photocatalysts) and functional ceramics. Key trends include structural disorder analysis in piezoelectrics, development of quantitative TEM methods like SUePDF, and nanoscale characterization of electrocatalyst surface phases. His work bridges materials chemistry with advanced imaging techniques. Scientific recognition includes: Fellow of The Royal Microscopical Society (U.K.) Senior Member of IEEE Marie Curie Fellowship (2007-2009) from European Commission Sir Edward Youde Memorial Fellowship (2003/2004) from Hong Kong S.A.R. Government He teaches Solid State Chemistry (KZ7003) and leads Introduction to Analytical Electron Microscopy (KZ8009), having previously taught Advanced Transmission Electron Microscopy (KZ8010) before 2011. Major grants supporting his work include: "Quantitative structural characterisation using 3D electron-based pair distribution function" (Swedish Research Council) "A Multidimensional Toolkit for Modern Electron Microscopy" (Swedish Foundation for Strategic Research) "Mitigating Ni-rich Li-ion cathode side-reactions" (Swedish Energy Agency, Co-applicant) He leads the Cheuk-Wai Tai group within Stockholm University's chemistry department and oversees operations at the Electron Microscopy Center, where his team develops and applies advanced characterization techniques for functional materials research.
Lisa Magnani is a Professor in the Department of Economics at Macquarie University, with active research in labor economics, finance, and development studies. She is affiliated with both the Innovation, Strategy and Entrepreneurship Research Centre and the Health at Work Research Centre at Macquarie University. Professor Magnani's research focuses on critical areas including labor markets, financial systems, and their intersection with social issues. Her work examines: Unionization and workers' rights across different economic contexts The relationship between finance and labor in capitalist societies Small and Medium-sized Enterprises (SMEs) and their financing challenges Worker mobility and technological diffusion HIV/AIDS and economic deprivation in Southeast Asia Social finance and inequality Her recent publications demonstrate a consistent focus on the interplay between financial systems and labor dynamics, with increasing attention to social issues like HIV/AIDS and women's agency. Magnani's work spans both developed and developing economies, with particular emphasis on post-socialist contexts and Southeast Asia. Professor Magnani has been actively involved in research projects including: "The Impact of Capital Account on Small and Medium Enterprises" (ongoing) "Understanding deprivation and HIV/AIDS in Southeast Asia: A new multidimensional model for research and economic planning" (2018-2022) "Small firms' finances: effects on employment, wages and growth" (2016-2021) She regularly presents her research at international conferences and has organized academic events such as "Sino-Australia Economies Towards a New Globalization: A Mutual Learning Curve" in 2018.
Dr. Sajid Alavi is a Professor in the Department of Grain Science and Industry at Kansas State University. He joined the faculty in 2002 after earning his Ph.D. in Food Science/Food Engineering from Cornell University (2002), M.S. in Agricultural and Biological Engineering from Penn State (1997), and B.S. in Agricultural Engineering from IIT (1995). His research focuses on extrusion processing in food, pet food, and feed applications, with expertise in rheology, food microstructure imaging, and process sustainability. He leads global projects in Africa, Brazil, India, and beyond, emphasizing sustainable food technologies and AI-driven processing innovations. Dr. Alavi is a recipient of the 2010 Young Research Scientist Award from the Cereals & Grains Association. He teaches GRSC 620 (Intro to Extrusion Processing) and GRSC 820 (Advanced Extrusion Processing), and has trained over 1,000 industry leaders through his renowned 'Extrusion Processing: Technology and Commercialization' short course. His work bridges food science and engineering, addressing challenges in plant-based meat analogs, nutrient bioavailability, and food aid product development. Key facilities associated with his work include the BIVAP Feed Quality Assurance Lab and Hal Ross Flour Mill. His research spans sensory analysis of meat alternatives, fiber utilization in pet food, and sustainability assessments of novel crops like intermediate wheatgrass. Recent studies explore insect protein in pet food, AI-driven extrusion optimization, and iron bioavailability in fortified foods. Dr. Alavi’s contributions span academic, industrial, and global food security domains, reflecting a commitment to innovative, scalable food solutions.
Tymofiy Mylovanov is an Associate Professor of Microeconomics at the University of Pittsburgh. His research focuses on political economy, macroeconomic policy design, blockchain applications in governance, and post-conflict reconstruction strategies with a particular emphasis on Ukraine and Eastern Europe. His work bridges theoretical economics with practical policy analysis, addressing issues such as public procurement reforms, sanctions impact on businesses, and the design of fiscal frameworks for war-torn economies. Mylovanov has extensively studied the economic consequences of geopolitical conflicts, including the Russia-Ukraine war, and advocates for institutional reforms to ensure democratic stability and economic resilience. Key research themes include: Optimal mechanisms for foreign aid allocation Blockchain's role in public sector transparency Anti-corruption frameworks in post-authoritarian states Economic policy responses to hybrid warfare Mylovanov's recent publications analyze Ukraine's macroeconomic challenges, the effectiveness of international sanctions, and innovative governance models leveraging technology. His work frequently appears in high-impact policy journals and is cited in global policy discussions about Eastern European development.
Kamal Sen is an Associate Professor in the Department of Biomedical Engineering at Boston University, serving as Director of the Natural Sounds and Neural Coding Laboratory and Director of Admissions and Recruitment for Master’s Programs. He holds a PhD and MA in Physics from Brandeis University and a BA in Physics from Bates College. His research focuses on understanding how neurons encode natural sounds, particularly in the auditory cortex. Key areas include neural coding efficiency, hierarchical auditory processing, and the role of learning in shaping receptive fields. He developed the BOSSA algorithm to address sound segregation challenges in noisy environments, with applications for hearing aid technology. Sen’s work integrates electrophysiological techniques with theoretical approaches from signal processing, information theory, and systems theory. His lab explores neural discrimination of behaviorally relevant sounds and models cortical processing dynamics using computational frameworks. Recent studies investigate parvalbumin neuron contributions to temporal coding and cortical noise reduction in complex auditory scenes. His publications span neural circuit modeling, fNIRS applications in BCI, and biomimetic algorithms for auditory scene analysis. Research highlights include exploring schizophrenia-related gene effects on neural circuits and developing 3D neurosphere models for Parkinson’s disease.
Nancy Kass is a Professor in the Department of Health Policy and Management at the Johns Hopkins Bloomberg School of Public Health, where she also holds the Phoebe R. Berman Professorship in Bioethics and Public Health. She serves as Vice Provost for Graduate and Professional Education at Johns Hopkins University and is the Interim Chair of the Department of Health Policy and Management. Additionally, she is Deputy Director for Public Health at the Johns Hopkins Berman Institute of Bioethics and co-directs the Johns Hopkins Fogarty African Bioethics Training Program. ScD, Johns Hopkins University, 1989 BA, Stanford University Postdoctoral Fellowship, Kennedy Institute of Ethics, Georgetown University Dr. Kass’s research focuses on the ethical dimensions of public health policy and research, with particular expertise in bioethics, research ethics, public health ethics, informed consent, learning health systems, and global health ethics . Her work addresses ethical challenges in HIV/AIDS, obesity prevention, genetics, and international research. She has developed influential frameworks for ethical oversight in public health and clinical research. Her recent publications (2024–2025) reflect a strong focus on modernizing clinical research ethics, including optimizing informed consent, integrating clinical trials with medical practice, and enhancing data infrastructure. These works emphasize ethical governance, patient-centered decision-making, and the alignment of research with real-world healthcare delivery. Her scholarship spans high-impact journals such as JAMA and Implementation Science , demonstrating sustained scholarly leadership. GBFFR Annual Award, Global Forum on Bioethics in Research, 2016 Member, National Academy of Medicine (formerly Institute of Medicine), 2008 Fellow, Hastings Center, 2007 Delta Omega Honorary Society in Public Health, 1996 AMTRA (Advising, Mentoring, and Teaching Award), Johns Hopkins, 1996 Dr. Kass has played a pivotal role in education and mentorship, having directed the PhD program in Bioethics and Health Policy for 15 years. She currently leads the Fogarty-funded African Bioethics Training Program, advancing global bioethics capacity. She has served on numerous national and international advisory bodies, including the National Cancer Institute’s central IRB, the National Academy of Medicine, and the WHO Ethics Review Committee. Her leadership extends to chairing the national Precision Medicine Initiative central IRB. She is actively involved in research projects such as the CDC Informed Consent Project, Bioethics of Quality Improvement, and Demonstrating Respect and Acceptable Consent Strategies in patient-centered outcomes research. These initiatives underscore her commitment to ethical innovation in public health and clinical practice.
Yan Ma serves as Professor and Chair of Biostatistics at the University of Pittsburgh, with additional appointments in Orthopaedic Surgery and Clinical and Translational Science. Previously, he was Professor and Vice Chair at George Washington University Milken Institute of Public Health (2014-2022) and Assistant Professor at Hospital for Special Surgery/Weill Cornell Medical College (2008-2014). His educational background includes: PhD in Statistics, University of Rochester (2008) MA in Statistics, University of Rochester (2004) MS in Mathematics, Syracuse University (2003) BS in Statistics, Beijing Normal University (2001) Ma's research centers on advanced statistical methodologies including missing data imputation, machine learning, meta-analysis, causal inference, and longitudinal methods, applied across orthopedics, anesthesiology, health disparities, and emergency medicine through team science and translational research frameworks. His publication trajectory demonstrates sustained innovation from methodological foundations (2008-2012) to contemporary applications in health disparities and machine learning (2016-2022), consistently addressing complex biomedical challenges through high-impact journals like JAMA and Health Services Research. His scientific recognition includes: ASA's Statistics in Epidemiology Young Investigator Award (2010) Interorganizational Team Science Award (2012) ORISE FDA Research Fellowship (2017) APHA Achievement in Academia Award Ma has secured R01 funding from NIH/AHRQ for missing data methods in health disparities research while serving as Associate Editor for ASA journals and reviewer for NIH/PCORI/VA panels, demonstrating leadership in statistical methodology development and interdisciplinary collaboration. His team-science approach bridges statistical innovation with clinical implementation across orthopedics and anesthesiology, driving evidence-based practice through methodological rigor and cross-disciplinary partnerships.
Andrew Lan is an Associate Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst, where he also serves as the CS Undergraduate Program Director. He was granted tenure by the UMass Board of Trustees in June 2025 and is currently on leave through Spring 2026. His research focuses on developing human-in-the-loop machine learning methods to enable scalable, effective, and personalized learning experiences in education. Dr. Lan received his BS in Physics and Mathematics from the Hong Kong University of Science and Technology, followed by his MS (2014) and PhD (2016) in Electrical and Computer Engineering from Rice University. He completed postdoctoral research at Rice University (2016) and Princeton University's EDGE Lab (2017-2018). His research spans artificial intelligence for education, with particular expertise in educational data mining, knowledge tracing, personalized learning systems, and human-AI collaboration in educational contexts. Dr. Lan's work leverages massive and multimodal learner and content data collected from both traditional classrooms and online learning platforms to develop systems that deliver high-quality, affordable, and personalized learning experiences. He has made significant contributions to areas including computerized adaptive testing, math word problem generation, student affect detection, and automated grading systems. His recent work increasingly focuses on leveraging large language models for educational applications while maintaining rigorous scientific validation of these approaches. Best Student Paper Award at the 2024 AIED Conference (with Alexander Scarlatos) Best Paper Nominee at LAK 2021 Best Student Paper Award at IEEE Big Data 2020 NAEP Math Automated Scoring Challenge Grand Prize Winner Dr. Lan actively mentors graduate students and postdoctoral researchers, with several of his advisees receiving recognition for their work. He has secured substantial funding from the National Science Foundation, including a $90M grant for the SafeInsights project, a secure cyberinfrastructure for educational research. His research group collaborates with institutions including Worcester Polytechnic Institute, University of Pennsylvania, and Rice University. He teaches undergraduate and graduate courses including COMPSCI 240 (Reasoning under Uncertainty) and COMPSCI 590OP (Applied Numerical Optimization), with a focus on the practical application of theoretical concepts in machine learning and artificial intelligence. His educational philosophy emphasizes bridging the gap between theoretical foundations and real-world implementation in educational technology.
Professor Paul A. Raschky is affiliated with the Department of Economics at Monash University , where he also directs the SoDa Labs and co-founded the KASPR Datahaus PTY LTD and IP Observatory . His academic focus spans Political Economy , Environmental Economics , Insurance Economics , and Development Economics , with a specialization in natural hazards and data science applications. Education: PhD (University of Innsbruck, 2008), with a postdoctoral research visit at the Wharton School . Research: Explores intersections of disaster risk , governance , and economic development , leveraging machine learning and big data . Recent Publications: Focus on generative AI productivity , ethnic favoritism , disaster insurance , and conflict economics . Awards: Recipient of the ABDC Award for Innovation and Excellence in Research (2022) and Dean’s Excellence in Research Award (2016) . Projects: Leads initiatives on internet suppression in Myanmar , news media availability , and AI-driven policy insights in South-East Asia and the Pacific. Future Work: Will be on sabbatical in 2025 , likely expanding on AI applications and disaster resilience .
Lucia Savadori is an Associate Professor in Psychology at the Department of Economics and Management, Università degli Studi di Trento. Her research focuses on risk perception, decision-making processes, behavioral economics, and effective communication strategies for risk-related information. She holds a BA and PhD in Psychology from the University of Padua, with postdoctoral research at Padova and visiting scholarships at institutions like the University of Illinois and Decision Research (USA). Education : B.A. in Psychology (1993), University of Padua PhD in Social and Personality Psychology (1999), University of Padua Research Interests : Risk communication in healthcare, technology, and environmental contexts Behavioral economics and decision-making under uncertainty Cognitive processes in judgment and choice Her work has been supported by grants including the Horizon 2020-funded BuildERS project (2019–2022) and the Italian Ministry of Health’s prenatal diagnostics initiative (2010–2012). She has led over a dozen research projects on topics like workplace safety, disaster preparedness, and consumer trust in food systems. Professional Activities : Head of Training and Communication at the Centro di Scienze della Sicurezza e della Criminalità (2021–present) Scientific Committee member for European research networks (e.g., SAFE, SMARTHEALTH) Editorial reviewer for journals like Risk Analysis and Medical Decision Making Her teaching spans courses on general psychology, behavioral economics, decision-making tools, and organizational psychology.
Dr. Anna Bobak is a Senior Lecturer in Psychology at the University of Stirling, UK. She holds a PhD from Bournemouth University (2016) and joined Stirling as a Research Assistant on an EPSRC project under Peter Hancock before transitioning to her current role. Her primary research focuses on individual differences in unfamiliar face recognition, particularly developmental prosopagnosia, and the reliability of face-processing assessments. She also investigates neurodiversity in women, emphasizing lived experiences of autism and ADHD, including camouflaging behaviors and societal awareness. Research Interests: Face Recognition: Examines perceptual strategies, diagnostic criteria (e.g., Balanced Integration Score), and technological applications in forensic contexts. Neurodiversity: Explores gender-specific manifestations of autism and ADHD, societal perceptions, and support mechanisms. Cognitive Methodology: Advances psychometric rigor in face-processing studies and critiques measurement validity. Her work bridges theoretical research and real-world applications, such as evaluating automated face recognition technology’s biases and collaborating on initiatives like #ScienceForUkraine to aid displaced academics. She is affiliated with the Cognition in Complex Environments research group and contributes to global security and resilience themes at Stirling.
Donguk Lee is an Assistant Professor in the Department of Audiology and Speech Language Pathology at the University of North Texas. He holds a Ph.D. from the University of Tennessee Health Science Center (2023) and previously worked as an audiologist in clinical and hearing aid settings. He also served as a medic in the South Korean Navy, providing medical support in naval and land-based environments. His research focuses on preventing noise-induced hearing loss through studies of auditory efferent systems, leveraging techniques like otoacoustic emissions and auditory evoked potentials. Dr. Lee’s work addresses both clinical and environmental aspects of hearing conservation. His recent studies explore variability in medial olivocochlear reflex responses to noise exposure and the interplay between efferent unmasking and cortical processing. Earlier work assessed noise levels in stadiums, subways, and other public spaces, linking environmental noise to hearing health risks and public attitudes. He was awarded the 2022 Student Research Grant in Audiology from ASHA for his innovative contributions to hearing loss prevention. His articles span from 2014 to 2023, reflecting a trajectory from hearing aid technology development to advanced auditory physiology and environmental noise policy implications.
